Abstract

this paper are of potential importance in various applications that require lexical disambiguation and where an estimate of lexical priors is required. For high-frequency words, one can obtain fairly reliable estimates of the lexical priors by tagging a corpus that gives a good coverage to words of various ranges. For predicting the lexical priors for the much larger mass of very low-frequency types, most of which would not occur in any such corpus, the results we have presented suggest that one should concentrate on tagging a good representative sample of the hapaxes, rather than extensively tagging words of all frequency ranges. Acknowledgments The authors wish to thank four anonymous reviewers for Computational Linguistics for useful comments on this paper

Citations